A New Drug Combinatory Effect Prediction Algorithm on the Cancer Cell Based on Gene Expression and Dose–Response Curve-Reference-Cited by-同舟云学术

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A New Drug Combinatory Effect Prediction Algorithm on the Cancer Cell Based on Gene Expression and Dose–Response Curve

Published:2015-02 Issue:2 Volume:4 Page:80-90
ISSN:2163-8306
Container-title:CPT: Pharmacometrics & Systems Pharmacology
language:en
Short-container-title:CPT Pharmacometrics Syst. Pharmacol.

Author:

Goswami C Pankaj¹,Cheng L²³⁴,Alexander PS²,Singal A²,Li L²³

Affiliation:

1. Molecular LabThomas Jefferson University HospitalsPhiladelphia Pennsylvania USA

2. Centers for Computational Biology and Bioinformatics, School of MedicineIndiana UniversityIndianapolis Indiana USA

3. Department of Medical and Molecular Genetics, School of MedicineIndiana UniversityIndianapolis Indiana USA

4. State Key Laboratory of Oncogenes and Related GenesShanghai Cancer InstituteShanghai China

Publisher

Wiley

Subject

Pharmacology (medical),Modeling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/psp4.9

Reference27 articles.

1. Integrative analysis reveals selective 9p24.1 amplification, increased PD-1 ligand expression, and further induction via JAK2 in nodular sclerosing Hodgkin lymphoma and primary mediastinal large B-cell lymphoma

2. Bexarotene (LGD1069, Targretin), a Selective Retinoid X Receptor Agonist, Prevents and Reverses Gemcitabine Resistance in NSCLC Cells by Modulating Gene Amplification

3. Combinatorial drug therapy for cancer in the post-genomic era

4. Prediction of Drug Combinations by Integrating Molecular and Pharmacological Data

5. Complex Interactions between Phytochemicals. The Multi-Target Therapeutic Concept of Phytotherapy

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